FluidFM for single-cell biophysics

Single-molecule biophysics: untying a nanoscale knot.

Biophysics of Computation in Single Hippocampal Neurons

Biophysics of Computation in Single Hippocampal Neurons Anthony M. Zador Yale University 1993 In this thesis I examine the biophysical basis of computation in single neurons. I begin with the hypothesis that single neurons are more complex than the processing elements that comprise artificial neural networks, and that this complexity has some significance. My focus is on a cortical region calle...

Optical traps for single molecule biophysics: a primer

Optical trapping experiments of different complexities are making a significant impact in biology. This review seeks to highlight design choices for scientists entering the field or building new instruments and to discuss making calibrated measurements with optical traps. For specificity, this review focuses on nucleic acid-based assays, but the discussion reflects the general experimental desi...

Single-molecule Biophysics: Machine Learning for Automated Data Processing

Single-molecule fluorescence microscopy has been greatly successful in understanding biophysics at molecular level. This technique has been advancing toward higher throughput, which creates a need for a data-analysis tool to distinguish molecule of interest from other fluorescence signals. Here, we have used supervised machine-learning approaches to filter biological events of our interest, and...

Interlaced optical force-fluorescence measurements for single molecule biophysics.

Combining optical tweezers with single molecule fluorescence offers a powerful technique to study the biophysical properties of single proteins and molecules. However, such integration into a combined, coincident arrangement has been severely limited by the dramatic reduction in fluorescence longevity of common dyes under simultaneous exposure to trapping and fluorescence excitation beams. We p...